�鶹��

�鶹��

STAMPS@�鶹��

STAtistical Methods for the Physical Sciences Research Center

STAMPS@�鶹�� › STAMPS@�鶹�� Workshops › Workshop Schedule

WORKSHOP DAILY ITINERARY

Please note that all times listed for the events are US Eastern Daylight Time

Saturday October 4th, 2025


8:30 AM	Registration
9:00 AM	Welcome & Introductory Remarks [View Slideshow]
9:15 AM	Keynote Talk - Kyle Cranmer, University of Wisconsin Madison Title: “Navigating the design space of SBI” [View Slideshow]
10:15 AM	Coffee Break
10:45 AM	Invited Talk - Stefan Radev, Rensselaer Polytechnic Institute Title: “Composing the score for stable and simulation-efficient amortized inference at scale” [View Slideshow]
11:25 AM	Invited Talk - Barnabas Poczos, �鶹�� Title: “Diffusion Models for Science: Progress, Challenges, and Open Questions” [View Slideshow]
12:05 PM	Lunch
1:25 PM	Keynote Talk - Andrew Zammit-Mangion, University of Wollongong Title: “Neural SBI for spatial and spatio-temporal statistical models” [View Slideshow]
2:25 PM	Workshop Group Photo
2:35 PM	Poster Session 1 & Coffee Break
3:50 PM	Invited Talk - Minge Xie, Rutgers University Title: “Repro Samples and Fisher Inversion: A Framework for Solving Finite-Sample and Irregular Inference Challenges” [View Slideshow]

Sunday October 5th, 2025

9:00 AM	Keynote Talk - Joel Leja, The Pennsylvania State University Title: "Rapid inference of galaxy properties in the age of deep and large-scale surveys of the universe" [View Slideshow]
10:00 AM	Coffee Break
10:30 AM	Invited Talk - Bingjie Wang, Princeton University Title: “Simulation-based Inference for Galaxy Properties: Speed, Coverage, and New Physics” [View Slideshow]
11:10 AM	Invited Talk - Reetam Majumder, University of Arkansas Title: “Vecchia approximated density regression for spatial models with intractable likelihoods” [View Slideshow]
11:50 AM	Lunch
1:15 PM	Keynote Talk - Larry Wasserman, �鶹�� Title: “SBI at �鶹��” [View Slideshow]
2:15 PM	Poster Session 2 & Coffee Break
3:30 PM	Invited Talk - Patrick Heimbach, University of Texas at Austin Title: "Differentiable programming for hybrid data assimilation & machine learning” [View Slideshow]
4:10 PM	Invited talk - Gaia Grosso, Massachusetts Institute of Technology Title: “From high dimensions to statistical discovery: anomaly detection at scale in the era of latent spaces”. [View Slideshow]